Noise Adaptive Weighted Switching Median Filter for Removing High Density Impulse Noise
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This paper proposes a new efficient noise adaptive weighted switching median filter for the restoration of images that are corrupted by high density of impulse noise. The proposed method consists of two phases- noise detection and filtering. In our proposed method, the filtering window size is chosen adaptively depending on the percentage of noise that corrupts the image. Noise detection is done by using Boundary Discriminative Noise Detection method proposed by P.-E Ng et.al and then filtering is applied to only the corrupted pixels in the noisy image. Each detected noisy pixel is replaced by a weighted median value of uncorrupted pixels in the filtering window. Weight value assigned to each uncorrupted pixel depends on its closeness to the central pixel.
KeywordsImage denoising Impulse noise Noise adaptive weighted switching median filter Salt and pepper noise
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- 2.Civicioglu, P.: Using Uncorrupted Neighborhoods of the Pixels for Impulsive Noise Suppression With ANFIS. IEEE Transactions on Image Processing 16(3) (March 2007)Google Scholar
- 6.Nair, M.S., Raju, G.: A new fuzzy-based decision algorithm for high-density impulse noise removal. Signal Image and Video Processing, doi:10.1007/s11760-010-0186-4Google Scholar
- 9.Duan, F., Zhang, Y.-J.: A Highly Effective Impulse Noise Detection Algorithm for Switching Median Filters. IEEE Signal Processing Letters 17(7) (July 2010)Google Scholar